AI Agents
AI agents come in various forms, each uniquely designed to handle specific tasks and levels of autonomy. Here’s a breakdown of different AI agent types, emphasizing their scope of work, capabilities, feasibility, and automation level.
Resources
AI Agent Architecture & Anatomy
- https://www.promptingguide.ai/research/agents
- https://www.pinecone.io/learn/ai-agents/
- https://www.ruxu.dev/articles/ai/maximizing-ai-agents/
- https://www.anthropic.com/index/claude-now-supports-tool-use
Agent Frameworks & Implementation
- https://python.langchain.com/docs/modules/agents/
- https://docs.llamaindex.ai/en/stable/examples/agent/openai_agent.html
- https://microsoft.github.io/autogen/
- https://docs.crewai.com/
Best Practices & Guidelines
- https://www.linkedin.com/pulse/understanding-ai-agents-comprehensive-guide-architecture-amit-kumar
- https://www.taskade.com/blog/ai-agents-guide/
- https://www.artificial-intelligence.blog/news/ai-agents-overview
Advanced Topics
- Multi-Agent Systems - https://www.promptingguide.ai/research/agents#multi-agent-systems
- Agent Memory & Planning - https://www.pinecone.io/learn/series/langchain/langchain-agents/
- Agent Orchestration - https://www.ruxu.dev/articles/ai/agent-orchestration/
Further Reading
- AI Agent Market Overview - https://www.sequoiacap.com/article/autonomous-agents-perspective/
- AI Agent Security - https://www.artificial-intelligence.blog/news/ai-agent-security
- Future of AI Agents - https://www.anthropic.com/research/ai-agents